GTM Engineer

Clera; Singapore; On-site; SGD 128,000 - 218,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Clera is building an early-stage AI infrastructure team at the crossroads of go-to-market and engineering in Singapore. You will help connect AI products with technical buyers by shaping the GTM approach and operating outbound systems.

You’ll own the outbound pipeline, craft messaging for ML engineers and engineering leaders, and collaborate with leadership to refine the GTM playbook, all while leveraging AI tools to boost efficiency and conversion.

Qualifications

• At least 2 years of relevant GTM or commercial experience with measurable results in building a GTM motion and closing deals.
• A computer science or engineering background, or substantial coding and technical project experience.
• Ability to understand and engage in technical conversations with AI and engineering buyers.
• Experience building outbound workflows, including sequencing, CRM automation, lead scoring, and custom tooling.
• Strong familiarity with GTM tools such as Clay or Apollo, or equivalent custom automation.
• Experience using AI tools to build scrapers, automations, or internal tools that improve GTM output.
• Experience selling developer tools, infrastructure, or AI/ML products, ideally in an early-stage startup.
• Strong writing skills and familiarity with reinforcement learning concepts such as environments, evaluations, and benchmarks.

Responsibilities

• Own the outbound pipeline from prospect targeting and enrichment through outreach, follow-up, and meeting booking.
• Build and maintain email sequences, CRM automations, lead scoring, and custom GTM tooling.
• Use AI tools, scrapers, and workflow automation to increase the effectiveness of pipeline generation.
• Develop and improve messaging for ML engineers, AI researchers, and engineering leaders.
• Learn prospects' businesses and workflows to identify relevant needs and communicate product value.
• Track pipeline metrics and improve conversion throughout the outbound process.
• Work with company leadership to develop and refine the go-to-market playbook.

Skills

Outbound workflows

CRM automation

Lead scoring

Custom tooling

AI tools

Technical conversations

Education

Computer science or engineering background

Tools

Clay

Apollo

Job description

About the Role

Join an early-stage AI infrastructure team at the intersection of go-to-market and engineering. You will build and operate the outbound systems that connect AI and machine learning products with technical buyers, while helping shape the team's go-to-market approach.

What You'll Do

• Own the outbound pipeline from prospect targeting and enrichment through outreach, follow-up, and meeting booking.

• Build and maintain email sequences, CRM automations, lead scoring, and custom GTM tooling.

• Use AI tools, scrapers, and workflow automation to increase the effectiveness of pipeline generation.

• Develop and improve messaging for ML engineers, AI researchers, and engineering leaders.

• Learn prospects' businesses and workflows to identify relevant needs and communicate product value.

• Track pipeline metrics and improve conversion throughout the outbound process.

• Work with company leadership to develop and refine the go-to-market playbook.

What We're Looking For

• At least 2 years of relevant GTM or commercial experience, including measurable results building a GTM motion and closing deals.

• A computer science or engineering background, or substantial coding and technical project experience.

• Ability to understand and engage in technical conversations with AI and engineering buyers.

• Experience building outbound workflows, including sequencing, CRM automation, lead scoring, and custom tooling.

• Strong familiarity with GTM tools such as Clay or Apollo, or equivalent custom automation.

• Experience using AI tools to build scrapers, automations, or internal tools that improve GTM output.

• Experience selling developer tools, infrastructure, or AI/ML products, ideally in an early-stage startup.

• Strong writing skills and familiarity with reinforcement learning concepts such as environments, evaluations, and benchmarks.

Compensation & Benefits

Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.